摘要
针对网络节点发生失效而产生的性能问题,提出了一种新的流量预测算法(Prediction algorithm based-FARIMA model for Breakdown,PFB).该算法首先利用排队理论推导了存在失效节点时流量平均队长的数学表达式,并结合FARIMA模型建立了预测方法.同时,通过数学仿真分析了平均队长与服务率等影响因素之间的关系.实验结果表明该算法具有较好的适应性,与原始流量的标准差为12.13.
In order to mitigate the performance problem by network node breakdown, a novel traffic prediction algorithm （Prediction algorithm based- FARIMA model for Breakdown, PFB） is proposed. At first, the mathematic formula for average queue length in steady state is derived with queuing theory in this algorithm, and the prediction method is established by FARIMA Model. Then, a simulation was conducted to research on the relationships between average queue length and service rate. The result shows that it has good adaptability, and the standard deviation between prediction traffic and original traffic is 12. 13.
出处
《微电子学与计算机》
CSCD
北大核心
2013年第3期35-37,42,共4页
Microelectronics & Computer
基金
国家自然科学基金(61071162)
四川省教育厅科研项目(11ZA300)
成都大学校基金(2011XJZ10)
关键词
失效
性能
排队
FARIMA模型
平均队长
breakdown
performance
queueing
FARIMA model
average queue length
